Changeset 389
- Timestamp:
- Aug 15, 2005, 1:37:07 PM (17 years ago)
- Location:
- trunk
- Files:
-
- 17 edited
Legend:
- Unmodified
- Added
- Removed
-
trunk/doc/namespaces.doxygen
r387 r389 49 49 50 50 /// 51 /// @namespace theplu::statistics::regression Statistical modeling of 52 /// data ... 51 /// @namespace theplu::statistics::regression 53 52 /// 54 53 /// @brief Statistical modeling of data -
trunk/lib/random/random.h
r380 r389 14 14 namespace random { 15 15 16 /// 17 /// @brief Random Number Generator 16 18 /// 17 19 /// The RNG class is wrapper to the GSL random number generator … … 196 198 /// @brief Exponential distribution 197 199 /// 198 /// Class for generating a random number from a Exponential200 /// Class for generating a random number from an Exponential 199 201 /// distribution. 200 202 /// -
trunk/lib/statistics/Kernel.cc
r295 r389 5 5 namespace theplu{ 6 6 namespace statistics{ 7 namespace regression{ 7 8 8 9 Kernel::Kernel(void) 9 10 { 10 11 } 11 }} // of namespace statistics and namespace theplu 12 13 } // of namespace regression 14 } // of namespace statistics 15 } // of namespace theplu -
trunk/lib/statistics/Kernel.h
r382 r389 6 6 namespace theplu { 7 7 namespace statistics { 8 8 namespace regression{ 9 9 /// 10 10 /// Abstract Base Class for calculating the weights in a more … … 29 29 }; 30 30 31 }} // of namespace statistics and namespace theplu 31 } // of namespace regression 32 } // of namespace statistics 33 } // of namespace theplu 32 34 33 35 #endif -
trunk/lib/statistics/KernelBox.cc
r295 r389 6 6 namespace theplu { 7 7 namespace statistics { 8 8 namespace regression { 9 9 KernelBox::KernelBox(void) 10 10 : Kernel() … … 20 20 } 21 21 22 }} // of namespace statistics and namespace theplu 22 } // of namespace regression 23 } // of namespace statistics 24 } // of namespace theplu 25 -
trunk/lib/statistics/KernelBox.h
r382 r389 9 9 namespace theplu { 10 10 namespace statistics { 11 namespace regression{ 11 12 12 13 /// … … 33 34 }; 34 35 35 }} // of namespace statistics and namespace theplu 36 } // of namespace regression 37 } // of namespace statistics 38 } // of namespace theplu 36 39 37 40 #endif -
trunk/lib/statistics/KernelTriCube.cc
r295 r389 8 8 namespace theplu { 9 9 namespace statistics { 10 namespace regression { 10 11 11 12 KernelTriCube::KernelTriCube(void) … … 22 23 } 23 24 24 }} // of namespace statistics and namespace theplu 25 } // of namespace regression 26 } // of namespace statistics 27 } // of namespace theplu 28 -
trunk/lib/statistics/KernelTriCube.h
r382 r389 10 10 namespace theplu { 11 11 namespace statistics { 12 namespace regression { 12 13 13 14 /// … … 34 35 }; 35 36 36 }} // of namespace statistics and namespace theplu 37 } // of namespace regression 38 } // of namespace statistics 39 } // of namespace theplu 40 37 41 38 42 #endif -
trunk/lib/statistics/Linear.h
r385 r389 14 14 15 15 /// 16 /// Class for OneDimensional.16 /// @brief linear regression. 17 17 /// 18 18 /// @todo document 19 /// 19 20 class Linear : public OneDimensional 20 21 { … … 100 101 /// 101 102 /// Function returning the coefficient of determination, 102 /// i.e. shareof variance explained by the linear model.103 /// i.e. fraction of variance explained by the linear model. 103 104 /// 104 105 inline double r2(void) const { return r2_; } -
trunk/lib/statistics/MultiDimensional.h
r386 r389 15 15 16 16 /// 17 /// 17 /// @brief MultiDimesional fitting. 18 18 /// 19 19 class MultiDimensional … … 22 22 23 23 /// 24 /// 24 /// @brief Default Constructor 25 25 /// 26 26 inline MultiDimensional(void) : chisquare_(0), work_(NULL) {} -
trunk/lib/statistics/Naive.h
r383 r389 19 19 20 20 /// 21 /// Class for OneDimensional. 21 /// @bief naive fitting. 22 /// 23 /// @todo document 22 24 /// 23 25 class Naive : public OneDimensional -
trunk/lib/statistics/OneDimensional.h
r383 r389 15 15 16 16 /// 17 /// Virtual Class for OneDimensional.17 /// Abstract Base Class for One Dimensional fitting. 18 18 /// 19 19 /// @todo document 20 /// 20 21 class OneDimensional 21 22 { -
trunk/lib/statistics/Polynomial.h
r386 r389 17 17 18 18 /// 19 /// 19 /// @todo document 20 20 /// 21 21 class Polynomial : public OneDimensional -
trunk/lib/statistics/Score.h
r295 r389 10 10 11 11 /// 12 /// Score is an abstract class defining the interface for the score classes.12 /// Abstract Base Class defining the interface for the score classes. 13 13 /// 14 14 class Score -
trunk/lib/utility/Exception.h
r341 r389 10 10 namespace utility { 11 11 12 12 /// 13 /// @brief Class 14 /// 15 /// @todo document 16 /// 13 17 class IO_error : public std::runtime_error 14 18 { -
trunk/lib/utility/utility.h
r354 r389 5 5 6 6 /// 7 /// \fileutility.h7 /// @file utility/utility.h 8 8 /// 9 9 /// Some useful functions are placed here -
trunk/test/regression_test.cc
r388 r389 17 17 using namespace theplu; 18 18 19 bool Local_test(statistics::regression::OneDimensional&, statistics::Kernel&); 19 bool Local_test(statistics::regression::OneDimensional&, 20 statistics::regression::Kernel&); 20 21 21 22 … … 61 62 62 63 // testing regression::Local 63 statistics:: KernelBox kb;64 statistics::regression::KernelBox kb; 64 65 statistics::regression::Linear rl; 65 66 if (!Local_test(rl,kb)) { … … 102 103 103 104 104 bool Local_test(statistics::regression::OneDimensional& r, statistics::Kernel& k) 105 bool Local_test(statistics::regression::OneDimensional& r, 106 statistics::regression::Kernel& k) 105 107 { 106 108 statistics::regression::Local rl(r,k);
Note: See TracChangeset
for help on using the changeset viewer.